Interactive Geography Course Planning Tool
Wendy Anthony
2023-01-21 06:01:19
1 Load Package
2 Save CSV from Obsidian Time Tracker tool
- copy to text file as
TimeLog-2023-01-18.csv>> close file - Open file in Excel
- Copy header to top row
Task Start End TotalTaskTime TaskType SummaryTotal SummaryDay Day Date MainTask TotalTimeMin TotalTimeHr SubTask - If adding to existing time log csv, from this temp file delete the records already in the timelog file, and only work on the current ones to clean data to be added
- I’ve coded the Time Tracker to keep all separately timed events together, with cumulative total, for each day- This creates a data issue, as this Segment Title summary stat doesn’t fit with the other data, yet is a key summary and Daily Topic stat
- This needs to be cut/pasted into separate columns - at the same row as the first subtask
- copy down to fill column for each subtask of that day
- this column could later be split into separate columns Day #, Date and Main Task
- after these have been copied down, the empty rows can be deleted
- Fill in data type for each time period
3 Read Timelog Time Tracker TimeLog csv file
Ctrl+sht+H >> choose directory >> GeogInteract
# copy filename into read.csv
# file.choose()
getwd()## [1] "/Users/wanthony/Documents/R/GeogInteract"# Ctrl+sht+H >> choose directory >> GeogInteract
TimeLog <- read.csv("TimeLogs/TimeLog-2023-01-20 13-19-09.csv")
# TimeLog3.1 Split Summary Column into multiples
library(stringr)
TimeLog[c("Day", "Date", "MainTask")] <- stringr::str_split_fixed(TimeLog$SummaryDay, ': ', 3)3.2 Calculate Time Difference Between start and end
- TimeTracker doesn’t use 24 hour clock so when times span noon or midnight, the results are ploblematic
colnames(TimeLog)## [1] "Task" "Start" "End" "TotalTaskTime"
## [5] "TaskType" "SummaryTotal" "SummaryDay" "Day"
## [9] "Date" "MainTask" "TotalTimeMin" "TotalTimeHr"
## [13] "SubTask"TimeLog## Task Start
## 1 Research:Tabs nested iPad 2023-01-20 12:52
## 2 Admin: Lists: Format Shiny to ShinyClone ipad 2023-01-20 3:35
## 3 Code cleaning task lit -ipad 2023-01-20 4:49
## 4 Time Tasks and log from iPad List work 2023-01-20 5:30
## 5 Lists from ipag 2023-01-20 5:34
## 6 Code: Code cleaning WebClone rewrite after Map breakage 2023-01-20 5:41
## 7 Code cleaning WebClone rewrite after Map breakage 2023-01-20 8:55
## End TotalTaskTime TaskType SummaryTotal
## 1 2023-01-20 13:00 8m 12s NA 6h 36m 29s
## 2 2023-01-20 3:50 14m 47s NA 6h 36m 29s
## 3 2023-01-20 4:57 7m 59s NA 6h 36m 29s
## 4 2023-01-20 5:30 4s NA 6h 36m 29s
## 5 2023-01-20 5:38 4m 2s NA 6h 36m 29s
## 6 2023-01-20 8:48 3h 7m 9s NA 6h 36m 29s
## 7 2023-01-20 11:49 2h 54m 16s NA 6h 36m 29s
## SummaryDay Day Date
## 1 Day 15: 2023-01-20 Code: Code Cleaning; To Do Lists Day 15 2023-01-20 Code
## 2 Day 15: 2023-01-20 Code: Code Cleaning; To Do Lists Day 15 2023-01-20 Code
## 3 Day 15: 2023-01-20 Code: Code Cleaning; To Do Lists Day 15 2023-01-20 Code
## 4 Day 15: 2023-01-20 Code: Code Cleaning; To Do Lists Day 15 2023-01-20 Code
## 5 Day 15: 2023-01-20 Code: Code Cleaning; To Do Lists Day 15 2023-01-20 Code
## 6 Day 15: 2023-01-20 Code: Code Cleaning; To Do Lists Day 15 2023-01-20 Code
## 7 Day 15: 2023-01-20 Code: Code Cleaning; To Do Lists Day 15 2023-01-20 Code
## MainTask TotalTimeMin TotalTimeHr SubTask
## 1 Code Cleaning; To Do Lists 8 0.133 NA
## 2 Code Cleaning; To Do Lists 15 0.250 NA
## 3 Code Cleaning; To Do Lists 8 0.133 NA
## 4 Code Cleaning; To Do Lists 0 0.000 NA
## 5 Code Cleaning; To Do Lists 4 0.067 NA
## 6 Code Cleaning; To Do Lists 187 3.117 NA
## 7 Code Cleaning; To Do Lists 174 2.900 NATimeLog$Start## [1] "2023-01-20 12:52" "2023-01-20 3:35" "2023-01-20 4:49" "2023-01-20 5:30"
## [5] "2023-01-20 5:34" "2023-01-20 5:41" "2023-01-20 8:55"TimeLog$End## [1] "2023-01-20 13:00" "2023-01-20 3:50" "2023-01-20 4:57" "2023-01-20 5:30"
## [5] "2023-01-20 5:38" "2023-01-20 8:48" "2023-01-20 11:49"# Change Values of single cells to make them 24 hour
?difftime
TimeLog$TotalTimeMin <- difftime(TimeLog$End, TimeLog$Start, units = "mins")
TimeLog$TotalTimeMin## Time differences in mins
## [1] 8 15 8 0 4 187 174###########################################################
###########################################################
###########################################################
# when the difference is negative, change time to be 24 hours
# iris$Sepal.Length[3]=999
# TimeLog$End[3]="2023-01-12 13:20"
# TimeLog$End[20]="2023-01-08 13:15"
# TimeLog$End[33]="2023-01-09 13:40"
# TimeLog$End[39]="2023-01-11 15:05"
# TimeLog$End
#
# TimeLog$TotalTimeMin <- difftime(TimeLog$End, TimeLog$Start, units = "mins")3.2.1 Convert minutes to hours
https://stackoverflow.com/questions/49903171/r-divide-all-rows-of-a-dataframe-column-by-a-number
# https://stackoverflow.com/questions/49903171/r-divide-all-rows-of-a-dataframe-column-by-a-number
colnames(TimeLog)## [1] "Task" "Start" "End" "TotalTaskTime"
## [5] "TaskType" "SummaryTotal" "SummaryDay" "Day"
## [9] "Date" "MainTask" "TotalTimeMin" "TotalTimeHr"
## [13] "SubTask"TimeLog$TotalTimeHr <- as.numeric(as.character(TimeLog$TotalTimeMin)) / 60
TimeLog$TotalTimeHr## [1] 0.13333333 0.25000000 0.13333333 0.00000000 0.06666667 3.11666667 2.90000000# limit decimal places
TimeLog$TotalTimeHr <- format(round(TimeLog$TotalTimeHr, 3), nsmall = 3)
TimeLog$TotalTimeHr## [1] "0.133" "0.250" "0.133" "0.000" "0.067" "3.117" "2.900"4 Error Checking 24 hour
- If there are negative values, the
StartandEndneed to be adjusted for 24 hour clock issues usingObsidian Time Tracker - e.g. [1], [3], [21]
- I ended up changing 12:59 to 1:00 and PM to AM and it worked just fine
- write csv file with time info >>>
- Open in excel
- Add contents of this file to end of
TimeLog-Current.csv
4.0.1 Save as new .csv file with split columns
use this newly saved file to copy new timelog to current file TimeLog-Current.csv in app folder
write.csv(TimeLog, paste("TimeLogs/TimeLog-", Sys.time(), ".csv", sep=""), row.names=FALSE)summary(TimeLog)## Task Start End TotalTaskTime
## Length:7 Length:7 Length:7 Length:7
## Class :character Class :character Class :character Class :character
## Mode :character Mode :character Mode :character Mode :character
## TaskType SummaryTotal SummaryDay Day
## Mode:logical Length:7 Length:7 Length:7
## NA's:7 Class :character Class :character Class :character
## Mode :character Mode :character Mode :character
## Date MainTask TotalTimeMin TotalTimeHr
## Length:7 Length:7 Length:7 Length:7
## Class :character Class :character Class :difftime Class :character
## Mode :character Mode :character Mode :numeric Mode :character
## SubTask
## Mode:logical
## NA's:7
## 5 Read tl Time Tracker TimeLog csv file
tl <- read.csv("GeogInteract-app-WORKING/TimeLog-Current.csv")
tl## Task
## 1 Data VUE Concept Maps
## 2 Disect Interactive Code
## 3 Email Job Acceptance etc
## 4 CSS Experiments; Wishlists
## 5 Shiny template; data wrangle
## 6 Add .js html
## 7 Add save .csv button
## 8 App to Shiny Server
## 9 Add Concept Maps
## 10 Create Time Log
## 11 Questions to Ask
## 12 Refine app
## 13 Nesting tabs attempts
## 14 Time Tracker Formatting
## 15 Nest Tabs working
## 16 Save code; republish
## 17 Nesting About tab
## 18 Styling background; add images
## 19 Double-Nesting Troubles
## 20 Remove one Filter box
## 21 Try Removing DataTable Row Names - no success
## 22 ToDo lists; search for filtered csv button
## 23 Restyle logo; button; signature
## 24 Trying to make csv button reactive-no luck
## 25 Still Trying to make csv button
## 26 Still Trying to make csv button
## 27 iPad lists; ideas; todos; resources
## 28 iMac transfer iPad-copy.md
## 29 Disected pdf with links
## 30 Figure out creating interactive pdf Adobe acrobat
## 31 concept map pdf from VUE; interactive links with Adobe
## 32 Got Filtered Table with CSV download WORKING!
## 33 Restyled and Uploaded Filtered Table with csv download
## 34 Research js interactive table; Shiny tabs; update Shiny style
## 35 Add tabs and Republish app
## 36 Tweak app content; to do list
## 37 Code Cleaning
## 38 Open links in sep window; publishing errors
## 39 Study Focus pdfs
## 40 Course Data Collection Begins
## 41 Course Data Collection Continues ...
## 42 Try hyperlink in table > no luck
## 43 Start course data collection again
## 44 More ourse data collection
## 45 Planning / Designing Form Input; Flow Diagrams; some Data problems: had to redo stuff ...
## 46 Work on Flow Dataviz
## 47 Clean-up some code
## 48 Mermaid Diagrams Flow Charts
## 49 Data Collection copy/paste
## 50 Finish Data Collection; figure out copy/paste error
## 51 Check webpage after Publishing
## 52 Set up Time Log data for use; Document Workflow
## 53 Shiny: Create Working Tabs
## 54 Code: Create web-clone interface template; re-write Shiny output$tab str <- paste()
## 55 Code: start creating web template
## 56 Code: Start timer again after Republish
## 57 Code: Change colour of active Tab
## 58 Code: HTML Template
## 59 Research: JS Tables
## 60 Code: Creating table in HTML
## 61 Code: HTML Tables again
## 62 Coding: Data Viz Flow Adding CourseNames ConcatenateR
## 63 Code: Interactive Flow add classes; add logo at bottom
## 64 Code: Update Interactive Flow Dataviz
## 65 Code: Shiny Clone Webpage with tabs
## 66 Admin: Time Log
## 67 Code: Interactive GGPlot Charts
## 68 Code: Look at what needs to be changed: interact-flow; shiny clone
## 69 Code: Look at what needs to be changed: interact-flow
## 70 Code: interact-flow
## 71 Code: Add TimeLog table
## 72 Code: Add time log total hours
## 73 Code: Tab names shorten
## 74 Code: Shiny Table
## 75 Code: Shiny App to Shiny Clone
## 76 Code: Try to change timelog datatable sortorder
## 77 Admin: Create .RMD Report
## 78 Code: Clone internal links
## 79 Code: Reduce Tabs Shiny App
## 80 Code: Add button to save pdf
## 81 Code: Add button to save pdf
## 82 Code: Check for matching tag errors
## 83 Admin: Time Log export
## 84 Admin: Time Log
## 85 Admin; ggplot timelog; Time Log Sub Tasks
## 86 Code: Shiny App: Formatting: Tips for use; Reword text; Fine-tune
## 87 Admin: Email from David
## 88 Admin: Report
## 89 Code: Gantt Chart for Course Planning
## 90 Admin: Organize Lists: ToDos Wishlists HowTos Needs
## 91 Code: Formatting
## 92 Accessibility: Document keyboard strokes to navigate through website
## 93 Accessibility: Add tips to About tab
## 94 Admin: Time Tracker
## 95 Code: Leaflet Map
## 96 Admin: iPad: GIP todo list
## 97 Admin: added timelog from iPad
## 98 Code: Update Interactive Flow webpage
## 99 Research: Mermaid.js flowcharts in webpage
## 100 Code: Interactive Paths Workflow
## 101 Code: Web Clone update to ShinyApp
## 102 Research: JS Interactive Tables
## 103 Code: js Interactive Table
## 104 Admin: Update Timelog
## 105 Code: js Interactive Table
## 106 Code: js Interactive Table
## 107 Code: Mermaid Flowchart Pdf Links
## 108 Code: Leaflet Web Map
## 109 Code: Leaflet Map
## 110 Code: Add tips for Leaflet Map use; Tab for GeogBA planning pdf
## 111 Admin: Meeting Email; Time Log; Report
## 112 Research:Tabs nested iPad
## 113 Admin: Lists: Format Shiny to ShinyClone ipad
## 114 Code cleaning task lit -ipad
## 115 Time Tasks and log from iPad List work
## 116 Lists from ipad
## 117 Code: Code cleaning WebClone rewrite after Map breakage
## 118 Code cleaning WebClone rewrite after Map breakage
## Start End TotalTaskTime TaskType
## 1 2023-01-06 3:40 2023-01-06 7:05 3h 25m 0s Data viz
## 2 2023-01-06 9:00 2023-01-06 11:06 2h 6m 36s Data viz
## 3 2023-01-06 12:40 2023-01-06 13:20 40m 0s Admin
## 4 2023-01-06 2:00 2023-01-06 3:00 1h 0s Experiment
## 5 2023-01-07 6:00 2023-01-07 7:45 1h 45m 0s Data
## 6 2023-01-07 7:45 2023-01-07 8:30 45m 0s Code
## 7 2023-01-07 9:45 2023-01-07 10:15 30m 0s Code
## 8 2023-01-07 10:30 2023-01-07 12:55 2h 25m 0s Code
## 9 2023-01-07 1:25 2023-01-07 1:45 20m 18s Code
## 10 2023-01-07 1:50 2023-01-07 3:20 1h 29m 42s Admin
## 11 2023-01-07 1:50 2023-01-07 2:10 20m 0s Questions
## 12 2023-01-08 5:28 2023-01-08 5:35 6m 29s Code
## 13 2023-01-08 5:42 2023-01-08 7:00 1h 17m 42s Code
## 14 2023-01-08 7:00 2023-01-08 7:15 14m 30s Admin
## 15 2023-01-08 7:15 2023-01-08 7:35 20m 9s Code
## 16 2023-01-08 7:41 2023-01-08 7:47 5m 39s Code
## 17 2023-01-08 9:21 2023-01-08 10:38 1h 17m 14s Code
## 18 2023-01-08 10:46 2023-01-08 11:47 1h 20s Code
## 19 2023-01-08 11:49 2023-01-08 12:59 1h 10m 35s Code
## 20 2023-01-08 12:59 2023-01-08 13:15 15m 35s Code
## 21 2023-01-08 1:30 2023-01-08 1:41 11m 34s Code
## 22 2023-01-09 6:15 2023-01-09 7:03 48m 0s Research
## 23 2023-01-08 7:50 2023-01-08 8:33 42m 40s Code
## 24 2023-01-08 8:37 2023-01-08 9:45 1h 8m 2s Code
## 25 2023-01-08 10:10 2023-01-08 11:59 1h 49m 6s Code
## 26 2023-01-09 12:00 2023-01-09 12:30 30m 28s Code
## 27 2023-01-09 5:25 2023-01-09 5:55 30m 0s Research
## 28 2023-01-09 5:25 2023-01-09 8:06 2h 41m 45s Code
## 29 2023-01-09 8:10 2023-01-09 8:39 29m 52s Research
## 30 2023-01-09 8:41 2023-01-09 9:15 34m 3s Experiment
## 31 2023-01-09 9:39 2023-01-09 10:38 59m 8s Experiment
## 32 2023-01-09 10:54 2023-01-09 12:33 1h 39m 3s Code
## 33 2023-01-09 12:33 2023-01-09 13:40 47m 22s Code
## 34 2023-01-09 2:20 2023-01-09 5:20 3h 0s Experiment
## 35 2023-01-10 5:37 2023-01-10 6:50 1h 12m 50s Code
## 36 2023-01-10 7:30 2023-01-10 8:16 46m 50s Code
## 37 2023-01-10 8:30 2023-01-10 9:25 54m 17s Code
## 38 2023-01-10 9:40 2023-01-10 10:24 44m 5s Code
## 39 2023-01-11 12:44 2023-01-11 15:05 2h 20m 22s Data
## 40 2023-01-11 4:38 2023-01-11 6:55 2h 16m 52s Data
## 41 2023-01-11 8:00 2023-01-11 10:18 2h 17m 47s Data
## 42 2023-01-11 10:29 2023-01-11 11:15 45m 52s Experiment
## 43 2023-01-11 11:17 2023-01-11 11:51 34m 0s Data
## 44 2023-01-11 12:11 2023-01-11 12:20 8m 53s Data
## 45 2023-01-11 1:30 2023-01-11 3:30 2h 0s Research
## 46 2023-01-11 4:30 2023-01-11 4:53 22m 52s Experiment
## 47 2023-01-11 6:47 2023-01-11 8:00 1h 12m 46s Code
## 48 2023-01-12 3:55 2023-01-12 6:58 3h 3m 9s Code
## 49 2023-01-12 7:08 2023-01-12 7:47 39m 26s Data
## 50 2023-01-12 7:50 2023-01-12 8:56 1h 6m 13s Data
## 51 2023-01-12 9:10 2023-01-12 9:20 9m 35s Code
## 52 2023-01-12 10:28 2023-01-12 13:49 3h 20m 54s Admin
## 53 2023-01-12 2:56 2023-01-12 4:34 1h 38m 21s Code
## 54 2023-01-13 4:41 2023-01-13 5:00 18m 57s Code
## 55 2023-01-13 5:12 2023-01-13 8:22 3h 10m 25s Code
## 56 2023-01-13 8:23 2023-01-13 8:32 8m 55s Code
## 57 2023-01-13 8:32 2023-01-13 8:40 8m 19s Code
## 58 2023-01-13 8:48 2023-01-13 9:05 17m 13s Code
## 59 2023-01-13 9:05 2023-01-13 10:23 1h 17m 18s Research
## 60 2023-01-13 11:01 2023-01-13 14:18:01 AM 3h 16m 8s Code
## 61 2023-01-13 2:39 2023-01-13 3:55 1h 16m 33s Code
## 62 2023-01-13 6:09 2023-01-13 7:55 1h 46m 0s Code
## 63 2023-01-14 2:32 2023-01-14 4:30 1h 57m 54s Code
## 64 2023-01-14 5:46 2023-01-14 8:46 3h 8s Code
## 65 2023-01-14 9:52 2023-01-14 12:58 3h 5m 22s Code
## 66 2023-01-14 5:00 2023-01-14 5:33 33m 6s Admin
## 67 2023-01-14 7:00 2023-01-14 8:30 1h 30m 0s Code
## 68 2023-01-15 7:00 2023-01-15 7:15 14m 52s Code
## 69 2023-01-15 7:15 2023-01-15 7:17 1m 40s Code
## 70 2023-01-15 7:23 2023-01-15 9:40 2h 17m 17s Code
## 71 2023-01-15 9:50 2023-01-15 10:13 22m 55s Code
## 72 2023-01-15 10:13 2023-01-15 11:17 1h 3m 48s Code
## 73 2023-01-15 11:27 2023-01-15 11:36 8m 49s Code
## 74 2023-01-15 11:50 2023-01-15 12:10 20m 30s Code
## 75 2023-01-15 1:03 2023-01-15 1:30 27m 9s Code
## 76 2023-01-15 1:44 2023-01-15 2:00 15m 44s Code
## 77 2023-01-15 2:00 2023-01-15 3:30 1h 30m 38s Admin
## 78 2023-01-15 3:30 2023-01-15 4:01 30m 56s Code
## 79 2023-01-15 4:01 2023-01-15 4:32 30m 52s Code
## 80 2023-01-15 5:49 2023-01-15 6:05 15m 30s Code
## 81 2023-01-15 6:06 2023-01-15 7:23 1h 17m 23s Code
## 82 2023-01-15 7:24 2023-01-15 9:24 1h 59m 25s Code
## 83 2023-01-16 0:01 2023-01-16 1:16 1h 15m 6s Admin
## 84 2023-01-16 1:16 2023-01-16 2:57 1h 41m 9s Admin
## 85 2023-01-16 1:00 2023-01-16 2:00 1h 26s Code
## 86 2023-01-16 4:35 2023-01-16 5:54 1h 19m 35s Code
## 87 2023-01-16 5:55 2023-01-16 6:23 27m 19s Admin
## 88 2023-01-16 7:32 2023-01-16 8:08 35m 31s Admin
## 89 2023-01-16 9:45 2023-01-16 11:15 1h 29m 47s Code
## 90 2023-01-17 12:03 2023-01-17 12:53 50m 0s Admin
## 91 2023-01-17 6:51 2023-01-17 7:15 23m 32s Admin
## 92 2023-01-17 7:15 2023-01-17 7:31 16m 5s Code
## 93 2023-01-17 7:43 2023-01-17 8:15 31m 33s Code
## 94 2023-01-18 1:28 2023-01-18 1:38 10m 3s Admin
## 95 2023-01-18 1:41 2023-01-18 2:33 52m 1s Code
## 96 2023-01-18 3:28 2023-01-18 3:32 3m 33s Admin
## 97 2023-01-18 4:01 2023-01-18 4:08 6m 51s Research
## 98 2023-01-18 4:08 2023-01-18 7:17 3h 9m 7s Code
## 99 2023-01-18 8:17 2023-01-18 8:47 29m 45s Research
## 100 2023-01-18 9:03 2023-01-18 10:13 1h 9m 47s Code
## 101 2023-01-18 10:33 2023-01-18 11:11 38m 2s Code
## 102 2023-01-18 11:26 2023-01-18 11:59 33m 1s Code
## 103 2023-01-18 1:02 2023-01-18 2:06 1h 3m 29s Code
## 104 2023-01-18 2:49 2023-01-18 3:28 38m 23s Admin
## 105 2023-01-18 0:02 2023-01-18 1:06 1h 3m 29s Code
## 106 2023-01-18 1:14 2023-01-18 2:42 1h 28m 23s Code
## 107 2023-01-18 8:35 2023-01-18 8:51 16m 15s Code
## 108 2023-01-18 9:35 2023-01-18 10:06 -20s Code
## 109 2023-01-19 4:34 2023-01-19 5:40 1h 5m 37s Code
## 110 2023-01-19 6:02 2023-01-19 6:12 9m 48s Code
## 111 2023-01-19 6:12 2023-01-19 6:32 20m 25s Admin
## 112 2023-01-20 12:52 2023-01-20 13:00 8m 12s Research
## 113 2023-01-20 3:35 2023-01-20 3:50 14m 47s Admin
## 114 2023-01-20 4:49 2023-01-20 4:57 7m 59s Code
## 115 2023-01-20 5:30 2023-01-20 5:30 4s Admin
## 116 2023-01-20 5:34 2023-01-20 5:38 4m 2s Admin
## 117 2023-01-20 5:41 2023-01-20 8:48 3h 7m 9s Code
## 118 2023-01-20 8:55 2023-01-20 11:49 2h 54m 16s Code
## SummaryTotal SummaryDay
## 1 7h 11m 36s Day 1: 2023-01-06: Dissect Interactive Dataviz
## 2 7h 11m 36s Day 1: 2023-01-06: Dissect Interactive Dataviz
## 3 7h 11m 36s Day 1: 2023-01-06: Dissect Interactive Dataviz
## 4 7h 11m 36s Day 1: 2023-01-06: Dissect Interactive Dataviz
## 5 7h 35m 0s Day 2: 2023-01-07: Start Shiny app
## 6 7h 35m 0s Day 2: 2023-01-07: Start Shiny app
## 7 7h 35m 0s Day 2: 2023-01-07: Start Shiny app
## 8 7h 35m 0s Day 2: 2023-01-07: Start Shiny app
## 9 7h 35m 0s Day 2: 2023-01-07: Start Shiny app
## 10 7h 35m 0s Day 2: 2023-01-07: Start Shiny app
## 11 7h 35m 0s Day 2: 2023-01-07: Start Shiny app
## 12 10h 27m 35s Day 3: 2023-01-08: Refining App
## 13 10h 27m 35s Day 3: 2023-01-08: Refining App
## 14 10h 27m 35s Day 3: 2023-01-08: Refining App
## 15 10h 27m 35s Day 3: 2023-01-08: Refining App
## 16 10h 27m 35s Day 3: 2023-01-08: Refining App
## 17 10h 27m 35s Day 3: 2023-01-08: Refining App
## 18 10h 27m 35s Day 3: 2023-01-08: Refining App
## 19 10h 27m 35s Day 3: 2023-01-08: Refining App
## 20 10h 27m 35s Day 3: 2023-01-08: Refining App
## 21 10h 27m 35s Day 3: 2023-01-08: Refining App
## 22 10h 27m 35s Day 3: 2023-01-08: Refining App
## 23 10h 27m 35s Day 3: 2023-01-08: Refining App
## 24 10h 27m 35s Day 3: 2023-01-08: Refining App
## 25 10h 27m 35s Day 3: 2023-01-08: Refining App
## 26 10h 41m 44s Day 4: 2023-01-09: Interactive pdfs
## 27 10h 41m 44s Day 4: 2023-01-09: Interactive pdfs
## 28 10h 41m 44s Day 4: 2023-01-09: Interactive pdfs
## 29 10h 41m 44s Day 4: 2023-01-09: Interactive pdfs
## 30 10h 41m 44s Day 4: 2023-01-09: Interactive pdfs
## 31 10h 41m 44s Day 4: 2023-01-09: Interactive pdfs
## 32 10h 41m 44s Day 4: 2023-01-09: Interactive pdfs
## 33 10h 41m 44s Day 4: 2023-01-09: Interactive pdfs
## 34 10h 41m 44s Day 4: 2023-01-09: Interactive pdfs
## 35 3h 38m 2s Day 5: 2023-01-10: Interactive pdfs
## 36 3h 38m 2s Day 5: 2023-01-10: Interactive pdfs
## 37 3h 38m 2s Day 5: 2023-01-10: Interactive pdfs
## 38 3h 38m 2s Day 5: 2023-01-10: Interactive pdfs
## 39 11h 59m 24s Day 6: 2023-01-11: Study Focus Docs
## 40 11h 59m 24s Day 6: 2023-01-11: Study Focus Docs
## 41 11h 59m 24s Day 6: 2023-01-11: Study Focus Docs
## 42 11h 59m 24s Day 6: 2023-01-11: Study Focus Docs
## 43 11h 59m 24s Day 6: 2023-01-11: Study Focus Docs
## 44 11h 59m 24s Day 6: 2023-01-11: Study Focus Docs
## 45 11h 59m 24s Day 6: 2023-01-11: Study Focus Docs
## 46 11h 59m 24s Day 6: 2023-01-11: Study Focus Docs
## 47 11h 59m 24s Day 6: 2023-01-11: Study Focus Docs
## 48 5h 37m 15s Day 7: 2023-01-012: Mermaid Diagrams
## 49 5h 37m 15s Day 7: 2023-01-012: Mermaid Diagrams
## 50 5h 37m 15s Day 7: 2023-01-012: Mermaid Diagrams
## 51 5h 37m 15s Day 7: 2023-01-012: Mermaid Diagrams
## 52 9h 57m 38s Day 7: 2023-01-12: Mermaid Diagrams
## 53 9h 57m 38s Day 7: 2023-01-12: Mermaid Diagrams
## 54 11h 39m 55s Day 8: 2023-01-13: HTML Code; Change Tab Nesting and Colour
## 55 11h 39m 55s Day 8: 2023-01-13: HTML Code; Change Tab Nesting and Colour
## 56 11h 39m 55s Day 8: 2023-01-13: HTML Code; Change Tab Nesting and Colour
## 57 11h 39m 55s Day 8: 2023-01-13: HTML Code; Change Tab Nesting and Colour
## 58 11h 39m 55s Day 8: 2023-01-13: HTML Code; Change Tab Nesting and Colour
## 59 11h 39m 55s Day 8: 2023-01-13: HTML Code; Change Tab Nesting and Colour
## 60 11h 39m 55s Day 8: 2023-01-13: HTML Code; Change Tab Nesting and Colour
## 61 11h 39m 55s Day 8: 2023-01-13: HTML Code; Change Tab Nesting and Colour
## 62 11h 39m 55s Day 8: 2023-01-13: HTML Code; Change Tab Nesting and Colour
## 63 8h 3m 24s Day 9: 2023-01-14: Code:Interactive Flow
## 64 8h 3m 24s Day 9: 2023-01-14: Code:Interactive Flow
## 65 8h 3m 24s Day 9: 2023-01-14: Code:Interactive Flow
## 66 8h 36m 30s Day 9: 2023-01-14: Code:Interactive Flow
## 67 10h 6m 30s Day 9: 2023-01-14: Code:Interactive Flow
## 68 11h 17m 28s Day 10: 2023-01-15: Code: interact-flow; shiny clone
## 69 11h 17m 28s Day 10: 2023-01-15: Code: interact-flow; shiny clone
## 70 11h 17m 28s Day 10: 2023-01-15: Code: interact-flow; shiny clone
## 71 11h 17m 28s Day 10: 2023-01-15: Code: interact-flow; shiny clone
## 72 11h 17m 28s Day 10: 2023-01-15: Code: interact-flow; shiny clone
## 73 11h 17m 28s Day 10: 2023-01-15: Code: interact-flow; shiny clone
## 74 11h 17m 28s Day 10: 2023-01-15: Code: interact-flow; shiny clone
## 75 11h 17m 28s Day 10: 2023-01-15: Code: interact-flow; shiny clone
## 76 11h 17m 28s Day 10: 2023-01-15: Code: interact-flow; shiny clone
## 77 11h 17m 28s Day 10: 2023-01-15: Code: interact-flow; shiny clone
## 78 11h 17m 28s Day 10: 2023-01-15: Code: interact-flow; shiny clone
## 79 11h 17m 28s Day 10: 2023-01-15: Code: interact-flow; shiny clone
## 80 11h 17m 28s Day 10: 2023-01-15: Code: interact-flow; shiny clone
## 81 11h 17m 28s Day 10: 2023-01-15: Code: interact-flow; shiny clone
## 82 11h 17m 28s Day 10: 2023-01-15: Code: interact-flow; shiny clone
## 83 7h 48m 53s Day 11: 2023-01-16: Code: interact-flow; shiny clone
## 84 7h 48m 53s Day 11: 2023-01-16: Code: interact-flow; shiny clone
## 85 7h 48m 53s Day 11: 2023-01-16: Code: interact-flow; shiny clone
## 86 7h 48m 53s Day 11: 2023-01-16: Code: interact-flow; shiny clone
## 87 7h 48m 53s Day 11: 2023-01-16: Code: interact-flow; shiny clone
## 88 7h 48m 53s Day 11: 2023-01-16: Code: interact-flow; shiny clone
## 89 7h 48m 53s Day 11: 2023-01-16: Code: interact-flow; shiny clone
## 90 2h 1m 10s Day 12: 2023-01-17: Code Formatting
## 91 2h 1m 10s Day 12: 2023-01-17: Code Formatting
## 92 2h 1m 10s Day 12: 2023-01-17: Code Formatting
## 93 2h 1m 10s Day 12: 2023-01-17: Code Formatting
## 94 12h 49m 7s Day 13: 2023-01-18: Coding
## 95 12h 49m 7s Day 13: 2023-01-18: Coding
## 96 12h 49m 7s Day 13: 2023-01-18: Coding
## 97 12h 49m 7s Day 13: 2023-01-18: Coding
## 98 12h 49m 7s Day 13: 2023-01-18: Coding
## 99 12h 49m 7s Day 13: 2023-01-18: Coding
## 100 12h 49m 7s Day 13: 2023-01-18: Coding
## 101 12h 49m 7s Day 13: 2023-01-18: Coding
## 102 12h 49m 7s Day 13: 2023-01-18: Coding
## 103 12h 49m 7s Day 13: 2023-01-18: Coding
## 104 12h 49m 7s Day 13: 2023-01-18: Coding
## 105 12h 49m 7s Day 13: 2023-01-18: Coding
## 106 12h 49m 7s Day 13: 2023-01-18: Coding
## 107 12h 49m 7s Day 13: 2023-01-18: Coding
## 108 12h 49m 7s Day 13: 2023-01-18: Coding
## 109 1h 5m 37s Day 14: 2023-01-19 Code: Leaflet Map; Time Log; Report
## 110 1h 5m 37s Day 14: 2023-01-19 Code: Leaflet Map; Time Log; Report
## 111 1h 5m 37s Day 14: 2023-01-19 Code: Leaflet Map; Time Log; Report
## 112 6h 36m 29s Day 15: 2023-01-20 Code: Code Cleaning; To Do Lists
## 113 6h 36m 29s Day 15: 2023-01-20 Code: Code Cleaning; To Do Lists
## 114 6h 36m 29s Day 15: 2023-01-20 Code: Code Cleaning; To Do Lists
## 115 6h 36m 29s Day 15: 2023-01-20 Code: Code Cleaning; To Do Lists
## 116 6h 36m 29s Day 15: 2023-01-20 Code: Code Cleaning; To Do Lists
## 117 6h 36m 29s Day 15: 2023-01-20 Code: Code Cleaning; To Do Lists
## 118 6h 36m 29s Day 15: 2023-01-20 Code: Code Cleaning; To Do Lists
## Day Date MainTask TotalTimeMin
## 1 Day 1 2023-01-06 Dissect Interactive Dataviz 205
## 2 Day 1 2023-01-06 Dissect Interactive Dataviz 126
## 3 Day 1 2023-01-06 Dissect Interactive Dataviz 40
## 4 Day 1 2023-01-06 Dissect Interactive Dataviz 60
## 5 Day 2 2023-01-07 Start Shiny app 105
## 6 Day 2 2023-01-07 Start Shiny app 45
## 7 Day 2 2023-01-07 Start Shiny app 30
## 8 Day 2 2023-01-07 Start Shiny app 145
## 9 Day 2 2023-01-07 Start Shiny app 20
## 10 Day 2 2023-01-07 Start Shiny app 90
## 11 Day 2 2023-01-07 Start Shiny app 20
## 12 Day 3 2023-01-08 Refining App 7
## 13 Day 3 2023-01-08 Refining App 78
## 14 Day 3 2023-01-08 Refining App 15
## 15 Day 3 2023-01-08 Refining App 20
## 16 Day 3 2023-01-08 Refining App 6
## 17 Day 3 2023-01-08 Refining App 77
## 18 Day 3 2023-01-08 Refining App 61
## 19 Day 3 2023-01-08 Refining App 70
## 20 Day 3 2023-01-08 Refining App 16
## 21 Day 3 2023-01-08 Refining App 11
## 22 Day 3 2023-01-08 Refining App 48
## 23 Day 3 2023-01-08 Refining App 43
## 24 Day 3 2023-01-08 Refining App 68
## 25 Day 3 2023-01-08 Refining App 109
## 26 Day 4 2023-01-09 Interactive pdfs 30
## 27 Day 4 2023-01-09 Interactive pdfs 30
## 28 Day 4 2023-01-09 Interactive pdfs 161
## 29 Day 4 2023-01-09 Interactive pdfs 29
## 30 Day 4 2023-01-09 Interactive pdfs 34
## 31 Day 4 2023-01-09 Interactive pdfs 59
## 32 Day 4 2023-01-09 Interactive pdfs 99
## 33 Day 4 2023-01-09 Interactive pdfs 67
## 34 Day 4 2023-01-09 Interactive pdfs 180
## 35 Day 5 2023-01-10 Interactive pdfs 73
## 36 Day 5 2023-01-10 Interactive pdfs 46
## 37 Day 5 2023-01-10 Interactive pdfs 55
## 38 Day 5 2023-01-10 Interactive pdfs 44
## 39 Day 6 2023-01-11 Study Focus Docs 141
## 40 Day 6 2023-01-11 Study Focus Docs 137
## 41 Day 6 2023-01-11 Study Focus Docs 138
## 42 Day 6 2023-01-11 Study Focus Docs 46
## 43 Day 6 2023-01-11 Study Focus Docs 34
## 44 Day 6 2023-01-11 Study Focus Docs 9
## 45 Day 6 2023-01-11 Study Focus Docs 120
## 46 Day 6 2023-01-11 Study Focus Docs 23
## 47 Day 6 2023-01-11 Study Focus Docs 73
## 48 Day 7 2023-01-12 Mermaid Diagrams 183
## 49 Day 7 2023-01-12 Mermaid Diagrams 39
## 50 Day 7 2023-01-12 Mermaid Diagrams 66
## 51 Day 7 2023-01-12 Mermaid Diagrams 10
## 52 Day 7 2023-01-12 Mermaid Diagrams 201
## 53 Day 7 2023-01-12 Mermaid Diagrams 98
## 54 Day 8 2023-01-13 HTML Code; Change Tab Nesting and Colour 19
## 55 Day 8 2023-01-13 HTML Code; Change Tab Nesting and Colour 190
## 56 Day 8 2023-01-13 HTML Code; Change Tab Nesting and Colour 9
## 57 Day 8 2023-01-13 HTML Code; Change Tab Nesting and Colour 8
## 58 Day 8 2023-01-13 HTML Code; Change Tab Nesting and Colour 17
## 59 Day 8 2023-01-13 HTML Code; Change Tab Nesting and Colour 78
## 60 Day 8 2023-01-13 HTML Code; Change Tab Nesting and Colour 197
## 61 Day 8 2023-01-13 HTML Code; Change Tab Nesting and Colour 76
## 62 Day 8 2023-01-13 HTML Code; Change Tab Nesting and Colour 106
## 63 Day 9 2023-01-14 Code:Interactive Flow 118
## 64 Day 9 2023-01-14 Code:Interactive Flow 180
## 65 Day 9 2023-01-14 Code:Interactive Flow 186
## 66 Day 9 2023-01-14 Code:Interactive Flow 33
## 67 Day 9 2023-01-14 Code:Interactive Flow 90
## 68 Day 10 2023-01-15 Code: interact-flow; shiny clone 15
## 69 Day 10 2023-01-15 Code: interact-flow; shiny clone 2
## 70 Day 10 2023-01-15 Code: interact-flow; shiny clone 137
## 71 Day 10 2023-01-15 Code: interact-flow; shiny clone 23
## 72 Day 10 2023-01-15 Code: interact-flow; shiny clone 64
## 73 Day 10 2023-01-15 Code: interact-flow; shiny clone 9
## 74 Day 10 2023-01-15 Code: interact-flow; shiny clone 20
## 75 Day 10 2023-01-15 Code: interact-flow; shiny clone 27
## 76 Day 10 2023-01-15 Code: interact-flow; shiny clone 16
## 77 Day 10 2023-01-15 Code: interact-flow; shiny clone 90
## 78 Day 10 2023-01-15 Code: interact-flow; shiny clone 31
## 79 Day 10 2023-01-15 Code: interact-flow; shiny clone 31
## 80 Day 10 2023-01-15 Code: interact-flow; shiny clone 16
## 81 Day 10 2023-01-15 Code: interact-flow; shiny clone 77
## 82 Day 10 2023-01-15 Code: interact-flow; shiny clone 120
## 83 Day 11 2023-01-16 Code: interact-flow; shiny clone 75
## 84 Day 11 2023-01-16 Code: interact-flow; shiny clone 101
## 85 Day 11 2023-01-16 Code: interact-flow; shiny clone 60
## 86 Day 11 2023-01-16 Code: interact-flow; shiny clone 79
## 87 Day 11 2023-01-16 Code: interact-flow; shiny clone 28
## 88 Day 11 2023-01-16 Code: interact-flow; shiny clone 36
## 89 Day 11 2023-01-16 Code: interact-flow; shiny clone 90
## 90 Day 12 2023-01-17 Code Formatting 50
## 91 Day 12 2023-01-17 Code Formatting 24
## 92 Day 12 2023-01-17 Code Formatting 16
## 93 Day 12 2023-01-17 Code Formatting 32
## 94 Day 13 2023-01-18 Coding 10
## 95 Day 13 2023-01-18 Coding 52
## 96 Day 13 2023-01-18 Coding 4
## 97 Day 13 2023-01-18 Coding 7
## 98 Day 13 2023-01-18 Coding 189
## 99 Day 13 2023-01-18 Coding 30
## 100 Day 13 2023-01-18 Coding 70
## 101 Day 13 2023-01-18 Coding 38
## 102 Day 13 2023-01-18 Coding 33
## 103 Day 13 2023-01-18 Coding 64
## 104 Day 13 2023-01-18 Coding 39
## 105 Day 13 2023-01-18 Coding 64
## 106 Day 13 2023-01-18 Coding 88
## 107 Day 13 2023-01-18 Coding 16
## 108 Day 13 2023-01-18 Coding 31
## 109 Day 14 2023-01-19 Leaflet Map; Time Log; Report 66
## 110 Day 14 2023-01-19 Leaflet Map; Time Log; Report 10
## 111 Day 14 2023-01-19 Leaflet Map; Time Log; Report 20
## 112 Day 15 2023-01-20 Code Cleaning; To Do Lists 8
## 113 Day 15 2023-01-20 Code Cleaning; To Do Lists 15
## 114 Day 15 2023-01-20 Code Cleaning; To Do Lists 8
## 115 Day 15 2023-01-20 Code Cleaning; To Do Lists 0
## 116 Day 15 2023-01-20 Code Cleaning; To Do Lists 4
## 117 Day 15 2023-01-20 Code Cleaning; To Do Lists 187
## 118 Day 15 2023-01-20 Code Cleaning; To Do Lists 174
## TotalTimeHr SubTask
## 1 3.417 Data Viz: Concept Maps
## 2 2.100 Data Viz: Interactive Flow
## 3 0.667 Communication: Email
## 4 1.000 Style: CSS
## 5 1.750 Webpage: ShinyApp
## 6 0.750 Data Tables: Interactive
## 7 0.500 Save Button
## 8 2.417 Webpage: ShinyApp
## 9 0.333 Data Viz: Concept Maps
## 10 1.500 Admin: Time Log
## 11 0.333 Lists: ToDos; Questions
## 12 0.117 Webpage: ShinyApp
## 13 1.300 Webpage: ShinyApp
## 14 0.250 Admin: Time Log
## 15 0.333 Webpage: ShinyApp
## 16 0.100 Webpage: ShinyApp
## 17 1.283 Webpage: ShinyApp
## 18 1.017 Style: CSS
## 19 1.167 Webpage: ShinyApp
## 20 0.267 Research
## 21 0.183 Data Tables: Interactive
## 22 0.800 Save Button
## 23 0.717 Style: CSS
## 24 1.133 Save Button
## 25 1.817 Save Button
## 26 0.500 Save Button
## 27 0.500 Lists: ToDos; Questions
## 28 2.683 Research
## 29 0.483 Data Viz: Linked PDFs
## 30 0.567 Data Viz: Linked PDFs
## 31 0.983 Data Viz: Concept Maps
## 32 1.650 Save Button
## 33 1.117 Data Tables: Interactive
## 34 3.000 Data Tables: Interactive
## 35 1.217 Webpage: ShinyApp
## 36 0.767 Style: CSS
## 37 0.917 Webpage: Code Cleaning
## 38 0.733 Webpage: Code Cleaning
## 39 2.350 Data Viz: Linked PDFs
## 40 2.283 Data Collection
## 41 2.300 Data Collection
## 42 0.767 Data Tables: Interactive
## 43 0.567 Data Collection
## 44 0.150 Data Collection
## 45 2.000 Data Collection
## 46 0.383 Data Viz: Interactive Flow
## 47 1.217 Webpage: Code Cleaning
## 48 3.050 Data Viz: Mermaid Flowcharts
## 49 0.650 Data Collection
## 50 1.100 Data Collection
## 51 0.167 Webpage: Code Cleaning
## 52 3.350 Workflow: Documentation
## 53 1.633 Webpage: ShinyApp
## 54 0.317 Webpage: Web Page
## 55 3.167 Webpage: Web Page
## 56 0.150 Webpage: Code Cleaning
## 57 0.133 Webpage: ShinyApp
## 58 0.283 Webpage: Web Page
## 59 1.300 Data Tables: Interactive
## 60 3.283 Data Tables: Interactive
## 61 1.267 Data Tables: Interactive
## 62 1.767 Data Viz: Interactive Flow
## 63 1.967 Data Viz: Interactive Flow
## 64 3.000 Data Viz: Interactive Flow
## 65 3.100 Webpage: Web Page
## 66 0.550 Admin: Time Log
## 67 1.500 Workflow: Documentation
## 68 0.250 Webpage: Web Page
## 69 0.033 Data Viz: Interactive Flow
## 70 2.283 Data Viz: Interactive Flow
## 71 0.383 Webpage: ShinyApp
## 72 1.067 Admin: Time Log
## 73 0.150 Webpage: Web Page
## 74 0.333 Data Tables: Interactive
## 75 0.450 Webpage: Web Page
## 76 0.267 Data Tables: Interactive
## 77 1.500 Communication: Report
## 78 0.517 Webpage: Web Page
## 79 0.517 Webpage: ShinyApp
## 80 0.267 Save Button
## 81 1.283 Save Button
## 82 2.000 Webpage: Code Cleaning
## 83 1.250 Admin: Time Log
## 84 1.683 Admin: Time Log
## 85 1.000 Data Viz: Interactive Flow
## 86 1.317 Webpage: ShinyApp
## 87 0.467 Communication: Email
## 88 0.600 Communication: Report
## 89 1.500 Data Viz: Gantt
## 90 0.833 Lists: ToDos; Questions
## 91 0.400 Style: CSS
## 92 0.267 Tips: Accessibility
## 93 0.533 Tips: Accessibility
## 94 0.167 Admin: Time Log
## 95 0.867 Map: Leaflet
## 96 0.067 Lists: ToDos; Questions
## 97 0.117 Research
## 98 3.150 Data Viz: Interactive Pathways
## 99 0.500 Data Viz: Mermaid Flowcharts
## 100 1.167 Data Viz: Interactive Pathways
## 101 0.633 Webpage: Web Page
## 102 0.550 Data Tables: Interactive
## 103 1.067 Data Tables: Interactive
## 104 0.650 Workflow: Documentation
## 105 1.067 Data Tables: Interactive
## 106 1.467 Data Tables: Interactive
## 107 0.267 Data Viz: Mermaid Flowcharts
## 108 0.517 Map: Leaflet
## 109 1.100 Map: Leaflet
## 110 0.167 Map: Leaflet
## 111 0.333 Communication: Email
## 112 0.133 Research
## 113 0.250 Lists: ToDos; Questions
## 114 0.133 Webpage: Code Cleaning
## 115 0.000 Admin: Time Log
## 116 0.067 Lists: ToDos; Questions
## 117 3.117 Webpage: Code Cleaning
## 118 2.900 Webpage: Code Cleaningtl$TotalTimeMin <- difftime(tl$End, tl$Start, units = "mins")
tl$TotalTimeMin## Time differences in mins
## [1] 205 126 40 60 105 45 30 145 20 90 20 7 78 15 20 6 77 61
## [19] 70 16 11 48 43 68 109 30 30 161 29 34 59 99 67 180 73 46
## [37] 55 44 141 137 138 46 34 9 120 23 73 183 39 66 10 201 98 19
## [55] 190 9 8 17 78 197 76 106 118 180 186 33 90 15 2 137 23 64
## [73] 9 20 27 16 90 31 31 16 77 120 75 101 60 79 28 36 90 50
## [91] 24 16 32 10 52 4 7 189 30 70 38 33 64 39 64 88 16 31
## [109] 66 10 20 8 15 8 0 4 187 174tl$Start## [1] "2023-01-06 3:40" "2023-01-06 9:00" "2023-01-06 12:40"
## [4] "2023-01-06 2:00" "2023-01-07 6:00" "2023-01-07 7:45"
## [7] "2023-01-07 9:45" "2023-01-07 10:30" "2023-01-07 1:25"
## [10] "2023-01-07 1:50" "2023-01-07 1:50" "2023-01-08 5:28"
## [13] "2023-01-08 5:42" "2023-01-08 7:00" "2023-01-08 7:15"
## [16] "2023-01-08 7:41" "2023-01-08 9:21" "2023-01-08 10:46"
## [19] "2023-01-08 11:49" "2023-01-08 12:59" "2023-01-08 1:30"
## [22] "2023-01-09 6:15" "2023-01-08 7:50" "2023-01-08 8:37"
## [25] "2023-01-08 10:10" "2023-01-09 12:00" "2023-01-09 5:25"
## [28] "2023-01-09 5:25" "2023-01-09 8:10" "2023-01-09 8:41"
## [31] "2023-01-09 9:39" "2023-01-09 10:54" "2023-01-09 12:33"
## [34] "2023-01-09 2:20" "2023-01-10 5:37" "2023-01-10 7:30"
## [37] "2023-01-10 8:30" "2023-01-10 9:40" "2023-01-11 12:44"
## [40] "2023-01-11 4:38" "2023-01-11 8:00" "2023-01-11 10:29"
## [43] "2023-01-11 11:17" "2023-01-11 12:11" "2023-01-11 1:30"
## [46] "2023-01-11 4:30" "2023-01-11 6:47" "2023-01-12 3:55"
## [49] "2023-01-12 7:08" "2023-01-12 7:50" "2023-01-12 9:10"
## [52] "2023-01-12 10:28" "2023-01-12 2:56" "2023-01-13 4:41"
## [55] "2023-01-13 5:12" "2023-01-13 8:23" "2023-01-13 8:32"
## [58] "2023-01-13 8:48" "2023-01-13 9:05" "2023-01-13 11:01"
## [61] "2023-01-13 2:39" "2023-01-13 6:09" "2023-01-14 2:32"
## [64] "2023-01-14 5:46" "2023-01-14 9:52" "2023-01-14 5:00"
## [67] "2023-01-14 7:00" "2023-01-15 7:00" "2023-01-15 7:15"
## [70] "2023-01-15 7:23" "2023-01-15 9:50" "2023-01-15 10:13"
## [73] "2023-01-15 11:27" "2023-01-15 11:50" "2023-01-15 1:03"
## [76] "2023-01-15 1:44" "2023-01-15 2:00" "2023-01-15 3:30"
## [79] "2023-01-15 4:01" "2023-01-15 5:49" "2023-01-15 6:06"
## [82] "2023-01-15 7:24" "2023-01-16 0:01" "2023-01-16 1:16"
## [85] "2023-01-16 1:00" "2023-01-16 4:35" "2023-01-16 5:55"
## [88] "2023-01-16 7:32" "2023-01-16 9:45" "2023-01-17 12:03"
## [91] "2023-01-17 6:51" "2023-01-17 7:15" "2023-01-17 7:43"
## [94] "2023-01-18 1:28" "2023-01-18 1:41" "2023-01-18 3:28"
## [97] "2023-01-18 4:01" "2023-01-18 4:08" "2023-01-18 8:17"
## [100] "2023-01-18 9:03" "2023-01-18 10:33" "2023-01-18 11:26"
## [103] "2023-01-18 1:02" "2023-01-18 2:49" "2023-01-18 0:02"
## [106] "2023-01-18 1:14" "2023-01-18 8:35" "2023-01-18 9:35"
## [109] "2023-01-19 4:34" "2023-01-19 6:02" "2023-01-19 6:12"
## [112] "2023-01-20 12:52" "2023-01-20 3:35" "2023-01-20 4:49"
## [115] "2023-01-20 5:30" "2023-01-20 5:34" "2023-01-20 5:41"
## [118] "2023-01-20 8:55"tl$End## [1] "2023-01-06 7:05" "2023-01-06 11:06"
## [3] "2023-01-06 13:20" "2023-01-06 3:00"
## [5] "2023-01-07 7:45" "2023-01-07 8:30"
## [7] "2023-01-07 10:15" "2023-01-07 12:55"
## [9] "2023-01-07 1:45" "2023-01-07 3:20"
## [11] "2023-01-07 2:10" "2023-01-08 5:35"
## [13] "2023-01-08 7:00" "2023-01-08 7:15"
## [15] "2023-01-08 7:35" "2023-01-08 7:47"
## [17] "2023-01-08 10:38" "2023-01-08 11:47"
## [19] "2023-01-08 12:59" "2023-01-08 13:15"
## [21] "2023-01-08 1:41" "2023-01-09 7:03"
## [23] "2023-01-08 8:33" "2023-01-08 9:45"
## [25] "2023-01-08 11:59" "2023-01-09 12:30"
## [27] "2023-01-09 5:55" "2023-01-09 8:06"
## [29] "2023-01-09 8:39" "2023-01-09 9:15"
## [31] "2023-01-09 10:38" "2023-01-09 12:33"
## [33] "2023-01-09 13:40" "2023-01-09 5:20"
## [35] "2023-01-10 6:50" "2023-01-10 8:16"
## [37] "2023-01-10 9:25" "2023-01-10 10:24"
## [39] "2023-01-11 15:05" "2023-01-11 6:55"
## [41] "2023-01-11 10:18" "2023-01-11 11:15"
## [43] "2023-01-11 11:51" "2023-01-11 12:20"
## [45] "2023-01-11 3:30" "2023-01-11 4:53"
## [47] "2023-01-11 8:00" "2023-01-12 6:58"
## [49] "2023-01-12 7:47" "2023-01-12 8:56"
## [51] "2023-01-12 9:20" "2023-01-12 13:49"
## [53] "2023-01-12 4:34" "2023-01-13 5:00"
## [55] "2023-01-13 8:22" "2023-01-13 8:32"
## [57] "2023-01-13 8:40" "2023-01-13 9:05"
## [59] "2023-01-13 10:23" "2023-01-13 14:18:01 AM"
## [61] "2023-01-13 3:55" "2023-01-13 7:55"
## [63] "2023-01-14 4:30" "2023-01-14 8:46"
## [65] "2023-01-14 12:58" "2023-01-14 5:33"
## [67] "2023-01-14 8:30" "2023-01-15 7:15"
## [69] "2023-01-15 7:17" "2023-01-15 9:40"
## [71] "2023-01-15 10:13" "2023-01-15 11:17"
## [73] "2023-01-15 11:36" "2023-01-15 12:10"
## [75] "2023-01-15 1:30" "2023-01-15 2:00"
## [77] "2023-01-15 3:30" "2023-01-15 4:01"
## [79] "2023-01-15 4:32" "2023-01-15 6:05"
## [81] "2023-01-15 7:23" "2023-01-15 9:24"
## [83] "2023-01-16 1:16" "2023-01-16 2:57"
## [85] "2023-01-16 2:00" "2023-01-16 5:54"
## [87] "2023-01-16 6:23" "2023-01-16 8:08"
## [89] "2023-01-16 11:15" "2023-01-17 12:53"
## [91] "2023-01-17 7:15" "2023-01-17 7:31"
## [93] "2023-01-17 8:15" "2023-01-18 1:38"
## [95] "2023-01-18 2:33" "2023-01-18 3:32"
## [97] "2023-01-18 4:08" "2023-01-18 7:17"
## [99] "2023-01-18 8:47" "2023-01-18 10:13"
## [101] "2023-01-18 11:11" "2023-01-18 11:59"
## [103] "2023-01-18 2:06" "2023-01-18 3:28"
## [105] "2023-01-18 1:06" "2023-01-18 2:42"
## [107] "2023-01-18 8:51" "2023-01-18 10:06"
## [109] "2023-01-19 5:40" "2023-01-19 6:12"
## [111] "2023-01-19 6:32" "2023-01-20 13:00"
## [113] "2023-01-20 3:50" "2023-01-20 4:57"
## [115] "2023-01-20 5:30" "2023-01-20 5:38"
## [117] "2023-01-20 8:48" "2023-01-20 11:49"5.1 Stacked Bar Visualize Time Log in GGplot
library(ggplot2)
tl <- read.csv("GeogInteract-app-WORKING/TimeLog-Current.csv")
colnames(tl)## [1] "Task" "Start" "End" "TotalTaskTime"
## [5] "TaskType" "SummaryTotal" "SummaryDay" "Day"
## [9] "Date" "MainTask" "TotalTimeMin" "TotalTimeHr"
## [13] "SubTask"tp_stack <- ggplot(tl, aes(x = Date, y = TotalTimeHr)) +
geom_bar(aes(fill = TaskType),
#geom_bar(aes(color = TaskType, fill = TaskType),
stat = "identity", position = position_stack()) +
ylim(0, 15) +
labs(title = "Task Time Log for Geog Interactive Course Explorations",
caption = "UVic Geography Wendy Anthony 2023",
x = "Date", y = "Total Hours") +
#scale_fill_brewer("Pastel2") + #
# scale_fill_brewer() + # blues
# scale_colour_brewer(palette = "Dark2") +
# scale_colour_brewer(palette = "Accent") +
theme_bw() +
theme(legend.title = element_blank(),
axis.text.x = element_text(angle = 90, vjust = 0.5, hjust=0.5))
#theme_classic()
# stacked position = position_stack()
# side by side position = "dodge"
tp_stack
ggsave(paste0("images/TimePlot-stack-", format(Sys.time(), "%Y%m%d_%H%M%S"),
".png"), tp_stack)## Saving 7 x 5 in imageggsave(paste0("images/TimePlot-stack-", format(Sys.time(), "%Y-%m-%d_%H-%M"),
".png"), tp_stack)## Saving 7 x 5 in imageggsave("images/TimePlot-stack-2023-01-14.png", tp_stack)## Saving 7 x 5 in image5.2 Side-by-side Bar Visualize Time Log in GGplot
library(ggplot2)
tl <- read.csv("GeogInteract-app-WORKING/TimeLog-Current.csv")
colnames(tl)## [1] "Task" "Start" "End" "TotalTaskTime"
## [5] "TaskType" "SummaryTotal" "SummaryDay" "Day"
## [9] "Date" "MainTask" "TotalTimeMin" "TotalTimeHr"
## [13] "SubTask"tp_side <- ggplot(tl, aes(x = Date, y = TotalTimeHr)) +
geom_bar(aes(fill = TaskType),
#geom_bar(aes(color = TaskType, fill = TaskType),
stat = "identity", position = "dodge") +
ylim(0, 15) +
labs(title = "Task Time Log for Geog Interactive Course Explorations",
caption = "UVic Geography Wendy Anthony 2023",
x = "Date", y = "Total Hours") +
#scale_fill_brewer("Pastel2") + #
# scale_fill_brewer() + # blues
# scale_colour_brewer(palette = "Dark2") +
# scale_colour_brewer(palette = "Accent") +
theme_bw() +
theme(legend.title = element_blank(),
axis.text.x = element_text(angle = 90, vjust = 0.5, hjust=0.5))
#theme_classic()
# stacked position = position_stack()
# side by side position = "dodge"
tp_side
# https://stackoverflow.com/questions/38274213/adding-system-time-and-date-to-pdf-with-ggsave
ggsave(paste0("images/TimePlot-side-", format(Sys.time(), "%Y-%m-%d_%H-%M"),
".png"), tp_side)## Saving 7 x 5 in imageggsave("images/TimePlot-side-2023-01-14.png", tp_side)## Saving 7 x 5 in image5.3 Plotly
5.3.1 Task Type Side-by-side Bar Visualize Time Log in GGplot
library(ggplot2)
# install.packages("plotly")
library(plotly)
tl <- read.csv("GeogInteract-app-WORKING/TimeLog-Current.csv")
colnames(tl)## [1] "Task" "Start" "End" "TotalTaskTime"
## [5] "TaskType" "SummaryTotal" "SummaryDay" "Day"
## [9] "Date" "MainTask" "TotalTimeMin" "TotalTimeHr"
## [13] "SubTask"tp_side <- ggplot(tl, aes(x = Date, y = TotalTimeHr, label = SubTask)) +
geom_bar(aes(fill = TaskType),
#geom_bar(aes(color = TaskType, fill = TaskType),
stat = "identity", position = "dodge") +
ylim(0, 15) +
labs(title = "Task Time Log for Geog Interactive Course Explorations",
caption = "UVic Geography Wendy Anthony 2023",
x = "Date", y = "Total Hours") +
#scale_fill_brewer("Pastel2") + #
# scale_fill_brewer() + # blues
# scale_colour_brewer(palette = "Dark2") +
# scale_colour_brewer(palette = "Accent") +
theme_bw() +
theme(legend.title = element_blank(),
axis.text.x = element_text(angle = 90, vjust = 0.5, hjust=0.5))
#theme_classic()
# stacked position = position_stack()
# side by side position = "dodge"
ggplotly(tp_side)# https://stackoverflow.com/questions/38274213/adding-system-time-and-date-to-pdf-with-ggsave
ggsave(paste0("images/TimePlot-side-", format(Sys.time(), "%Y-%m-%d_%H-%M"),
".png"), tp_side)## Saving 7 x 5 in imageggsave("images/TimePlot-side-2023-01-14.png", tp_side)## Saving 7 x 5 in image5.3.2 Sub Task Side-by-side Bar Visualize Time Log in GGplot
library(ggplot2)
# install.packages("plotly")
library(plotly)
tl <- read.csv("GeogInteract-app-WORKING/TimeLog-Current.csv")
colnames(tl)## [1] "Task" "Start" "End" "TotalTaskTime"
## [5] "TaskType" "SummaryTotal" "SummaryDay" "Day"
## [9] "Date" "MainTask" "TotalTimeMin" "TotalTimeHr"
## [13] "SubTask"tp_side_subtask <- ggplot(tl, aes(x = Date, y = TotalTimeHr, label = TaskType)) +
geom_bar(aes(fill = SubTask),
#geom_bar(aes(color = TaskType, fill = TaskType),
stat = "identity", position = "dodge") +
ylim(0, 15) +
labs(title = "Sub Task Time Log for Geog Interactive Course Explorations",
subtitle = "UVic Geography Wendy Anthony 2023",
caption = "UVic Geography Wendy Anthony 2023",
x = "Date", y = "Total Hours") +
#scale_fill_brewer("Pastel2") + #
# scale_fill_brewer() + # blues
# scale_colour_brewer(palette = "Dark2") +
# scale_colour_brewer(palette = "Accent") +
theme_bw() +
theme(legend.title = element_blank(),
axis.text.x = element_text(angle = 90, vjust = 0.5, hjust=0.5))
#theme_classic()
# stacked position = position_stack()
# side by side position = "dodge"
ggplotly(tp_side_subtask)# https://stackoverflow.com/questions/38274213/adding-system-time-and-date-to-pdf-with-ggsave
ggsave(paste0("images/TimePlot-side-subtask-", format(Sys.time(), "%Y-%m-%d_%H-%M"),
".png"), tp_side_subtask)## Saving 7 x 5 in imageggsave("images/TimePlot-side-subtask-2023-01-16.png", tp_side_subtask)## Saving 7 x 5 in image5.4 Group chart
library(ggplot2)
library(dplyr)
tl <- read.csv("GeogInteract-app-WORKING/TimeLog-Current.csv")
# colnames(tl)
# group_by() sum()
# https://rveryday.wordpress.com/2016/11/30/how-to-summarize-a-data-frame-by-groups-in-r/
tl_group <- tl %>%
dplyr::select(Day, Date, TotalTimeMin, TotalTimeHr, TaskType) %>%
dplyr::group_by(Date) %>%
dplyr::summarise(TotalTimeHr = sum(TotalTimeHr))
tp_group_bar <- ggplot(tl_group, aes(x = Date, y = TotalTimeHr)) +
geom_bar(aes(fill = TotalTimeHr),
#geom_bar(aes(color = TaskType, fill = TaskType),
stat = "identity", position = "dodge",
width = 0.75,
fill = "#69A81D") +
ylim(0, 15) +
labs(title = "Task Time Log for Geog Interactive Course Explorations",
subtitle = "Group by Total Hours per Day",
caption = "UVic Geography Wendy Anthony 2023",
x = "Date", y = "Total Hours") +
theme_bw() +
theme(legend.title = element_blank(),
axis.text.x = element_text(angle = 90,vjust = .45, hjust = 0.75))
tp_group_bar
5.5 Summarise Total Hours group_by Bar Visualize Time Log in GGplot
library(ggplot2)
library(dplyr) # group_by summarise
tl <- read.csv("GeogInteract-app-WORKING/TimeLog-Current.csv")
# colnames(tl)
# group_by() sum()
# https://rveryday.wordpress.com/2016/11/30/how-to-summarize-a-data-frame-by-groups-in-r/
tl_group <- tl %>%
select(Day, Date, TotalTimeMin, TotalTimeHr, TaskType) %>%
group_by(Date) %>%
summarise(TotalTimeHr = sum(TotalTimeHr))
tp_group_bar <- ggplot(tl_group, aes(x = Date, y = TotalTimeHr)) +
geom_bar(aes(fill = TotalTimeHr),
#geom_bar(aes(color = TaskType, fill = TaskType),
stat = "identity", position = "dodge",
width = 0.35,
fill = "#69A81D") +
ylim(0, 15) +
labs(title = "Task Time Log for Geog Interactive Course Explorations",
subtitle = "Group by Total Hours per Day",
caption = "UVic Geography Wendy Anthony 2023",
x = "Day", y = "Total Hours") +
#scale_fill_brewer("Pastel2") + #
# scale_fill_brewer() + # blues
# scale_colour_brewer(palette = "Dark2") +
# scale_colour_brewer(palette = "Accent") +
theme_bw() +
theme(legend.title = element_blank(),
axis.text.x = element_text(angle = 90,vjust = .45, hjust = 0.75))
#theme_classic()
# stacked position = position_stack()
# side by side position = "dodge"
tp_group_bar
# https://stackoverflow.com/questions/38274213/adding-system-time-and-date-to-pdf-with-ggsave
ggsave(paste0("images/TimePlot-group-bar-", format(Sys.time(), "%Y-%m-%d_%H-%M"),
".png"), tp_group_bar)## Saving 7 x 5 in imageggsave("images/TimePlot-group-bar-2023-01-14.png", tp_group_bar)## Saving 7 x 5 in image5.6 Summarise Total Hours group_by Line Visualize Time Log in GGplot
library(ggplot2)
library(dplyr) # group_by summarise
tl <- read.csv("GeogInteract-app-WORKING/TimeLog-Current.csv")
colnames(tl)## [1] "Task" "Start" "End" "TotalTaskTime"
## [5] "TaskType" "SummaryTotal" "SummaryDay" "Day"
## [9] "Date" "MainTask" "TotalTimeMin" "TotalTimeHr"
## [13] "SubTask"# group_by() sum()
# https://rveryday.wordpress.com/2016/11/30/how-to-summarize-a-data-frame-by-groups-in-r/
tl_group <- tl %>%
select(Day, Date, TotalTimeMin, TotalTimeHr, TaskType) %>%
group_by(Date) %>%
summarise(TotalTimeHr = sum(TotalTimeHr))
tp_group_line <- ggplot(tl_group, aes(x = Date, y = TotalTimeHr, group=1)) +
geom_line(linetype = "dashed") +
geom_point() +
ylim(0, 15) +
labs(title = "Task Time Log for Geog Interactive Course Explorations",
subtitle = "Group by Total Hours per Day",
caption = "UVic Geography Wendy Anthony 2023",
x = "Day", y = "Total Hours") +
#scale_fill_brewer("Pastel2") + #
# scale_fill_brewer() + # blues
# scale_colour_brewer(palette = "Dark2") +
# scale_colour_brewer(palette = "Accent") +
theme_bw() +
theme(legend.title = element_blank(),
axis.text.x = element_text(angle = 90, vjust = 0.5, hjust=0.5))
#theme_classic()
# stacked position = position_stack()
# side by side position = "dodge"
tp_group_line
# https://stackoverflow.com/questions/38274213/adding-system-time-and-date-to-pdf-with-ggsave
# ggsave(paste0("images/TimePlot-group-line", format(Sys.time(), "%Y-%m-%d_%H-%M"),
# ".png"), tp_group_line)
#
# ggsave("images/TimePlot-group-line-2023-01-14.png", tp_group_line)
# Sum of Hours5.7 Summarise Total Hours group_by Line Visualize Time Log in GGplot
library(ggplot2)
library(dplyr) # group_by summarise
tl <- read.csv("GeogInteract-app-WORKING/TimeLog-Current.csv")
colnames(tl)## [1] "Task" "Start" "End" "TotalTaskTime"
## [5] "TaskType" "SummaryTotal" "SummaryDay" "Day"
## [9] "Date" "MainTask" "TotalTimeMin" "TotalTimeHr"
## [13] "SubTask"# group_by() sum()
# https://rveryday.wordpress.com/2016/11/30/how-to-summarize-a-data-frame-by-groups-in-r/
tl_group <- tl %>%
select(Day, Date, TotalTimeMin, TotalTimeHr, TaskType) %>%
group_by(Date) %>%
summarise(TotalTimeHr = sum(TotalTimeHr))
tp_group_line <- ggplot(tl_group, aes(x = Date, y = TotalTimeHr, group=1)) +
geom_line(linetype = "dashed") +
geom_point() +
ylim(0, 15) +
labs(title = "Task Time Log for Geog Interactive Course Explorations",
subtitle = "Group by Total Hours per Day",
caption = "UVic Geography Wendy Anthony 2023",
x = "Day", y = "Total Hours") +
#scale_fill_brewer("Pastel2") + #
# scale_fill_brewer() + # blues
# scale_colour_brewer(palette = "Dark2") +
# scale_colour_brewer(palette = "Accent") +
theme_bw() +
theme(legend.title = element_blank(),
axis.text.x = element_text(angle = 90, vjust = 0.5, hjust=0.5))
#theme_classic()
# stacked position = position_stack()
# side by side position = "dodge"
tp_group_line
# https://stackoverflow.com/questions/38274213/adding-system-time-and-date-to-pdf-with-ggsave
ggsave(paste0("images/TimePlot-group-line", format(Sys.time(), "%Y-%m-%d_%H-%M"),
".png"), tp_group_line)## Saving 7 x 5 in imageggsave("images/TimePlot-group-line-2023-01-14.png", tp_group_line)## Saving 7 x 5 in image# Sum of Hours5.8 Plotly Summarise SubTask By Hours
# library(ggplot2)
# library(dplyr) # group_by summarise
## Summarise SubTask By Hours
tl <- read.csv("GeogInteract-app-WORKING/TimeLog-Current.csv")
# colnames(tl)
# group_by() sum()
# https://rveryday.wordpress.com/2016/11/30/how-to-summarize-a-data-frame-by-groups-in-r/
tl_group_sub <- tl %>%
select(Day, Date, TotalTimeMin, TotalTimeHr, TaskType, SubTask) %>%
group_by(SubTask) %>%
summarise(TotalTimeHr = sum(TotalTimeHr))
# dplyr reorder() to reverse the order of the SubTask
tp_group_bar_sub <- ggplot(tl_group_sub,
aes(x = reorder(SubTask, desc(SubTask)),
y = TotalTimeHr)) +
# tp_group_bar_sub <- ggplot(tl_group_sub,
# aes(x = reorder(SubTask, desc(SubTask)),
# y = TotalTimeHr,
# label = SubTask)) +
geom_bar(aes(fill = SubTask),
#geom_bar(aes(color = TaskType, fill = TaskType),
stat = "identity", position = "dodge",
width = 0.35,
fill = "#69A81D") +
ylim(0, 17.5) +
labs(title = "Time Log by SubTask Type - Jan 6-20, 2023",
subtitle = "UVic Geog Interactive Course Explorations Web Tool",
caption = "UVic Geography Wendy Anthony 2023",
x = "Sub Task", y = "Total Hours") +
coord_flip() +
#scale_fill_brewer("Pastel2") + #
# scale_fill_brewer() + # blues
# scale_colour_brewer(palette = "Dark2") +
# scale_colour_brewer(palette = "Accent") +
theme_bw() +
theme(legend.title = element_blank(),
axis.text.x = element_text(angle = 0,vjust = .45, hjust = 0.75))
#theme_classic()
# stacked position = position_stack()
# side by side position = "dodge"
tp_group_bar_sub
ggplotly(tp_group_bar_sub)# https://stackoverflow.com/questions/38274213/adding-system-time-and-date-to-pdf-with-ggsave
ggsave(paste0("images/TimePlot-group-bar-subtask", format(Sys.time(), "%Y-%m-%d_%H-%M"),
".png"), tp_group_bar_sub)## Saving 7 x 5 in image#
# ggsave("images/TimePlot-group-bar_subtask-2023-01-20.png", tp_group_bar_sub)5.9 Current Total Hours
TimeLog_current <- read.csv("GeogInteract-app-WORKING/TimeLog-Current.csv")
# TimeLog_current
# colnames(TimeLog_current)
# TimeLog_current$TotalTimeHr
TotalHours <- sum(TimeLog_current[, 'TotalTimeHr'])
TotalHours## [1] 125.7226 Mermaid Diagrams
library(DiagrammeR)
mermaid("graph LR;
A[Geography Major BA]
B[Focus: Environment]
E1[GEOG 101A]
E2[GEOG 101B]
E3[GEOG 103]
E4[GEOG 130]
E5[GEOG 226]
E6[GEOG 230]
E7[GEOG 252]
E8[GEOG 304]
E9[GEOG 353]
E10[GEOG 438]
E11[GEOG 453]
B-->A;
E1-->E5;
E3-->E5;
E4-->E6;
E7-->E8;
E7-->E9;
E9-->E11;
")# Session info
# to document specific packages used to run script
sessionInfo()## R version 4.2.1 (2022-06-23)
## Platform: x86_64-apple-darwin17.0 (64-bit)
## Running under: macOS Mojave 10.14.6
##
## Matrix products: default
## BLAS: /Library/Frameworks/R.framework/Versions/4.2/Resources/lib/libRblas.0.dylib
## LAPACK: /Library/Frameworks/R.framework/Versions/4.2/Resources/lib/libRlapack.dylib
##
## locale:
## [1] en_CA.UTF-8/en_CA.UTF-8/en_CA.UTF-8/C/en_CA.UTF-8/en_CA.UTF-8
##
## attached base packages:
## [1] stats graphics grDevices utils datasets methods base
##
## other attached packages:
## [1] DiagrammeR_1.0.9 stringr_1.4.1 dplyr_1.0.10 plotly_4.10.1
## [5] ggplot2_3.4.0
##
## loaded via a namespace (and not attached):
## [1] tidyselect_1.2.0 xfun_0.33 bslib_0.4.0 purrr_0.3.5
## [5] colorspace_2.0-3 vctrs_0.5.0 generics_0.1.3 htmltools_0.5.3
## [9] viridisLite_0.4.1 yaml_2.3.5 utf8_1.2.2 rlang_1.0.6
## [13] jquerylib_0.1.4 pillar_1.8.1 glue_1.6.2 withr_2.5.0
## [17] DBI_1.1.3 RColorBrewer_1.1-3 lifecycle_1.0.3 munsell_0.5.0
## [21] gtable_0.3.1 ragg_1.2.3 visNetwork_2.1.2 htmlwidgets_1.5.4
## [25] evaluate_0.17 labeling_0.4.2 knitr_1.40 fastmap_1.1.0
## [29] crosstalk_1.2.0 fansi_1.0.3 highr_0.9 scales_1.2.1
## [33] cachem_1.0.6 jsonlite_1.8.2 farver_2.1.1 systemfonts_1.0.4
## [37] textshaping_0.3.6 digest_0.6.30 stringi_1.7.8 grid_4.2.1
## [41] cli_3.4.1 tools_4.2.1 magrittr_2.0.3 sass_0.4.2
## [45] lazyeval_0.2.2 tibble_3.1.8 tidyr_1.2.1 pkgconfig_2.0.3
## [49] data.table_1.14.2 assertthat_0.2.1 rmarkdown_2.17 httr_1.4.4
## [53] rstudioapi_0.14 R6_2.5.1 compiler_4.2.1